Allocation of Volunteers in Non-governmental Organizations Aided by Non-supervised Learning

Abstract

Nowadays recommender systems are successfully used in several application domains such in the educational field, e-commerce, tourism, online entertainment, and so on. However, there are some applications that could be aided by recommender systems but no previous study has already been developed to propose a suitable proposal for such applications. In this paper we develop a study related to the use of recommender systems techniques to aid the volunteers allocation in Non-Governmental Organizations (NGOs). We evaluated two different clustering algorithms by using two measures for evaluation of clusters. We evaluate the effectiveness of the algorithms when they are applied to create different groups of volunteers from Brazilian NGOs by considering the volunteering profile. According to our analysis, the non-supervised learning is promising to build a more complete support decision system to aid the management of NGOs related to volunteers allocation.